Senior Technical Data Analyst - Operations E2E Data Intelligent Systems

Nvidia•Santa Clara, CA

38d

About The Position

Join a World-Class Operations Team at NVIDIA! Our success is driven by cutting-edge advancements in AI integration and autonomous operations, setting new standards in supply chain management. We are committed to sustainability and resource stewardship, ensuring responsible practices that align with our business goals. Be part of a team that's shaping the future! Our team is seeking an experienced Data Specialist with a track record of turning complex, multiâsource data into trusted, actionable insights. This person will be an expert in modern data platforms (Databricks/Lakehouse), SQL/Python, and endâtoâend pipelines from ingestion to analytics. Being adept at data governance, quality, and metadata management is necessary to enable selfâservice and AI/advanced analytics. You will partner with business and engineering teams, driving measurable impact in operations and decisionâmaking.

Requirements

BS, MS, or PhD in EE/CS or related field of education (or equivalent experience).
5+ years of programming experience (Python, PySpark, SQL, etc.).
5+ years of experience with big data technologies and cloud platforms (AWS, Databricks, Snowflake).
12+ overall years in Data Warehousing, implementing projects with data Lakehouse solutions.
Experience with enterprise BI databases like SAP BW/HANA, ERP/CRM systems like SAP/Salesforce, planning applications like IBP, APO etc.
Knowledge of operational processes in chips, boards, systems, and networking.
Proficiency in Tableau, PowerBI, and SAP reporting applications.

Nice To Haves

Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy.
Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members
Proven experience leading multiple analytics projects in a dynamic, fast-paced environment
Data science, AI/ML experience
Positive interpersonal skills with ability to convey good verbal and written communication

Responsibilities

Design intuitive data models and semantic layers to enable selfâservice and AI apps reducing adâhoc query friction for business users.
Enrich data products with business glossary and metadata to reduce AI hallucinations, improve user adoption, searchability and governance.
Lead multiâsite integrations across new manufacturing plants and ops applications standardizing schemas and controls; enabling crossâplant insights.
Engineer scalable pipelines with data integrity functions and audit features. Automate measuring and monitoring data quality for improved decision making.
Explain the data designs, system changes, enhancements, address any questions or issues effectively to the stakeholders.
Partner with stakeholders, solve business problems, train users, help with data and queries.
Optimize Lakehouse systems to deliver high performing solutions while controlling operational costs.